Intro of Natural Language Processing (NLP) Fundamentals
Natural Language Processing (NLP) is a field of artificial intelligence (AI) that focuses on the interaction between computers and human language. It encompasses a range of tasks aimed at enabling machines to understand, interpret, and generate human language. NLP plays a crucial role in applications such as virtual assistants, chatbots, language translation, sentiment analysis, and information extraction. This article explores the fundamentals of NLP, including key concepts, techniques, and applications. Key Concepts in NLP: Tokenization: The process of breaking down text into smaller units, or tokens, such as words or subwords. Tokenization is a fundamental step in NLP, providing the basic building blocks for subsequent analysis. Part-of-Speech Tagging: Assigning grammatical categories (nouns, verbs, adjectives, etc.) to each token in a sentence. Part-of-speech tagging helps in understanding the syntactic structure of sentences. Named Entity Recognition (NER): Identifying and classi...